Worku Eshetu B, Woldesenbet Selamawit A
Department of Health, Medical Research Council.
Health Systems Research Unit, Medical Research Council.
Afr Health Sci. 2015 Dec;15(4):1330-8. doi: 10.4314/ahs.v15i4.36.
Many African economies have achieved substantial economic growth over the past recent years, yet several of the Millennium Development Goals (MDGs) including those concerned with health, remain considerably behind target. This paper examines whether progress towards these goals is being hampered by existing levels of poverty and income inequality. It also considers whether the inequality hypothesis of Wilkinson and Pickett1 applies to population health outcomes in African states.
Correlation analysis and scatter plots were used to assess graphically the link between variations in health outcomes, level of poverty and income inequality in different countries. Health status outcomes were measured by using four indicators: infant and under-five (child) mortality rates; maternal mortality ratios; and life expectancy at birth. In each of the 52 African nations, the proportion of the population living below the poverty line is used as an indicator of the level of poverty and Gini coefficient as a measure of income inequality. The study used a comprehensive review of secondary and relevant literature that are pertinent in the subject area. The data datasets obtained online from UNICEF2 and UNDP3 (2009) used to test the research questions. World Health Organization the three broad dimensions to consider when moving towards better population health outcome through Universal Health Coverage and the Social Determinants of Health framework reviewed to establish the poverty and income inequality link in African countries population health outcomes.
The study shows that poverty is strongly associated with all health outcome differences in Africa (IMR, cc = 0.63; U5MR, cc = 0.64; MMR, cc = 0.49; life expectancy at birth, cc = -0.67); income inequality with only one of the four indicators (IMR, cc = 0.14; U5MR, cc = 0.07; MMR, cc = 0.22; life expectancy at birth, cc = -0.49), whereas income inequality is associated with one of the four indicators.
The study shows that tackling poverty should be the immediate concern in Africaas a means of promoting better health for all. There is a question mark over whether the findings of Wilkinson and Pickett1 on the relationship between income inequality and health apply to Africa. The reasons for this question mark are discussed. More research is needed to investigate whether the inequality results found in this study are replicated in other studies of African health.
在过去几年中,许多非洲经济体实现了显著的经济增长,然而包括与健康相关的几个千年发展目标仍远未达标。本文探讨了这些目标的进展是否受到现有贫困水平和收入不平等的阻碍。它还考虑了威尔金森和皮克特的不平等假说是否适用于非洲国家的人口健康结果。
使用相关分析和散点图以图形方式评估不同国家健康结果变化、贫困水平和收入不平等之间的联系。健康状况结果通过四个指标衡量:婴儿和五岁以下(儿童)死亡率;孕产妇死亡率;以及出生时预期寿命。在52个非洲国家中的每一个,生活在贫困线以下的人口比例用作贫困水平指标,基尼系数用作收入不平等度量。该研究对该主题领域相关的二手及相关文献进行了全面综述。从联合国儿童基金会和联合国开发计划署(2009年)在线获取的数据数据集用于检验研究问题。世界卫生组织关于通过全民健康覆盖和健康的社会决定因素框架实现更好的人口健康结果时要考虑的三个广泛维度进行了综述,以确立非洲国家人口健康结果中的贫困与收入不平等联系。
研究表明,贫困与非洲所有健康结果差异密切相关(婴儿死亡率,相关系数 = 0.63;五岁以下儿童死亡率,相关系数 = 0.64;孕产妇死亡率,相关系数 = 0.49;出生时预期寿命,相关系数 = -0.67);收入不平等仅与四个指标之一相关(婴儿死亡率,相关系数 = 0.14;五岁以下儿童死亡率,相关系数 = 0.07;孕产妇死亡率,相关系数 = 0.22;出生时预期寿命,相关系数 = -0.49),而收入不平等与四个指标之一相关。
研究表明,解决贫困问题应是非洲促进全民健康的当务之急。威尔金森和皮克特关于收入不平等与健康关系的研究结果是否适用于非洲存在疑问。讨论了产生此疑问的原因。需要更多研究来调查本研究中发现的不平等结果是否在其他非洲健康研究中得到重现。